bookmarks (hide)104
- Argumentation Mining with Deep Learning and Random Forest
- Some of the tools listed below are discussed in detail in the "Seven Layers of Social Media Analytics" book. Applications (no programming skills required) DiscoverText: http://www.screencast.com/t/VKLqaekPz Demographics Pro: http://www.demographicspro.com/ NodeXL: https://nodexl.codeplex.com/ Twitonomy: http://www.twitonomy.com/ RapidMiner: http://docs.rapidminer.com/studio/how-to/cloud-connectivity/twitter.html KPI6: https://www.kpi6.com/ Talend: http://www.datalytyx.com/twitter-sentiment-analysis-using-talend/ KNIME: https://www.knime.org/blog/knime-twitter-nodes Pentaho: http://www.patlaf.com/query-twitter-api-with-pentaho-pdi-kettle/ iScience Maps: http://maps.iscience.deusto.es/ Nexalogy: https://nexalogy.com/ Tools/Scripts/Modules (require programming skills) Twarc: https://github.com/edsu/twarc Twitter for…
- Take free online classes from 120+ top universities and educational organizations. We partner with schools like Stanford, Yale, Princeton, and others to offer courses in dozens of topics, from computer science to teaching and beyond. Whether you are pursuing a passion or looking to advance your career, Coursera provides open, free education for everyone.
- I am a data scientist, software engineer and architecture consultant passionate in solving big data analytics problem with distributed and parallel computing, Machine learning and Data mining, SaaS and Cloud computing.
- BBC News forum posts: 2,594,745 comments from selected BBC News forums and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers. Digg post comments: 1,646,153 comments on Digg posts (typically highlighting news or technology stories) and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers. MySpace (social network site) comments: six sets of systematic samples (3 for the US and 3 for the UK) of all comments exchanged between pairs of friends (about 350 pairs for each UK sample and about 3,500 pairs for each US sample) from a total of >100,000 members and > 1,000 human classified sentiment strengths with a postive strength of 1-5 and a negative strength of 1-5. The classification is the average of three human classifiers.
- SenticNet is a publicly available semantic and affective resource for concept-level opinion mining and sentiment analysis.
- Links to classic papers on unsupervised sentiment analysis. Using methods as pmi, wordnet and LDA.
- SentiStrength estimates the strength of positive and negative sentiment in short texts, even for informal language. It has human-level accuracy for short social web texts in English, except political texts.
publications (hide)117
- Big Data, 1 (1): 51--59 (March 2013)
- ACM Trans. Internet Technol., 16 (2): 10:1--10:25 (March 2016)
- Web Mining: From Web to Semantic Web, Springer, (2004)
- Semantic Web, 8 (5): 623--624 (April 2017)2017 IOS Press and the authors. This is an author produced version of a paper subsequently published in Semantic Web. Uploaded in accordance with the publisher's self-archiving policy..
- CRC Press, Boca Raton, Fl., (2010)
- Morgan Kaufmann, Amsterdam; London, (2017)
- DMNLP@PKDD/ECML, volume 1646 of CEUR Workshop Proceedings, page 9-16. CEUR-WS.org, (2016)
- volume 1646 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)
- LREC, European Language Resources Association, (2008)
- Proceedings of the 12th International Workshop on Text-based Information Retrieval, (2015)
- Web Semantics: Science, Services and Agents on the World Wide Web, (2016)
- (2010)
- volume 1202 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)
- New Review of Hypermedia and Multimedia, 20 (1): 53--77 (2014)
- Proc. LWA 2013 (KDML Special Track), Bamberg, Germany, University of Bamberg, (2011)
- Lecture Notes in Computer Science, (2010)
- (2012)
- Elsevier/Morgan Kaufmann, Amsterdam u.a., (2011)
- (2012)
- Workshop Notes, Bristol, UK, (2012)
